ZIP code
25031
in Boomer, West VirginiaPopulation 424
30.16/ 100
Ranked #30,733 of 32,066 US ZIPs (bottom 4.2%)
Ranked #508 of 697 West Virginia ZIPs (bottom 27%)
Ranked #49 of 75 Beckley, WV ZIPs (bottom 35%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
What defines this ZIP
Metrics where this ZIP sits in the tails of the national distribution — the ones that most set it apart. Select any tile for its definition and methodology.
Short sleep
47%
in the top 1.4% nationally
Lower is healthier
ST93rdUS99thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Outer-floodplain exposure
19%
in the top 2.1% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›High cholesterol
45.9%
in the top 2.9% nationally
Lower is healthier
ST66thUS97thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Diabetes
19%
in the top 5.6% nationally
Lower is healthier
ST71stUS94thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Tooth loss
25.7%
in the top 6.5% nationally
Lower is healthier
ST62ndUS94thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Fair or poor health
30.8%
in the top 7.0% nationally
Lower is healthier
ST68thUS93rdDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Transportation noise
12.8%
in the top 5.7% nationally
Lower is healthier
ST96thUS94thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Independent-living disability
12.9%
in the top 7.1% nationally
Lower is healthier
ST66thUS93rdDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Home broadband subscription
70.1%
in the bottom 6.2% nationally
Higher is healthier
ST16thUS6thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Cognitive disability
20.6%
in the top 7.2% nationally
Lower is healthier
ST62ndUS93rdDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›The read
Boomer, West Virginia (ZIP 25031), by its composite score, sits in the bottom 4.2% nationally (30,733rd) and the bottom 27% of West Virginia (508th).
The data opens on real and measurable burdens: modeled short sleep lies in the top 1.4% nationally, and outer-floodplain exposure rests in the top 2.1% nationally. Modeled high cholesterol resides in the top 2.9% nationally, and diabetes is in the top 5.6% nationally. Modeled tooth loss lands in the top 6.5% nationally, fair or poor health stands in the top 7.0% nationally, and transportation noise registers in the top 5.7% nationally. Modeled independent living disability settles in the top 7.1% nationally, home broadband subscription sits in the bottom 6.2% nationally, and modeled cognitive disability lies in the top 7.2% nationally.
Next to the surrounding area, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. For a healthier comparison close by, see ZIP 25036, just across the boundary.
What’s driving this score
Nine domains make up the ZipVitals Score — here is how this ZIP does on each, and how much each one counts. Compare it against the US, this state and the Beckley, WV metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Preventive Care
healthier than 62%
13%
About typical
Healthcare Access
healthier than 58%
5%
Holding it back
Chronic Disease Burden
healthier than 3%
21%
Social Need / SDOH
healthier than 6%
16%
Environmental Hazard
healthier than 39%
14%
Risk Behavior
healthier than 3%
11%
Mental Health
healthier than 1%
8%
Disability
healthier than 9%
7%
Climate / Disaster Risk
healthier than 32%
5%
Lifting this score
Preventive Care
healthier than 67%
13%
About typical
Healthcare Access
healthier than 58%
5%
Holding it back
Chronic Disease Burden
healthier than 35%
21%
Social Need / SDOH
healthier than 16%
16%
Environmental Hazard
healthier than 30%
14%
Risk Behavior
healthier than 32%
11%
Mental Health
healthier than 30%
8%
Disability
healthier than 35%
7%
Climate / Disaster Risk
healthier than 4%
5%
Lifting this score
Preventive Care
healthier than 73%
13%
About typical
Chronic Disease Burden
healthier than 45%
21%
Risk Behavior
healthier than 51%
11%
Mental Health
healthier than 49%
8%
Disability
healthier than 47%
7%
Healthcare Access
healthier than 56%
5%
Holding it back
Social Need / SDOH
healthier than 29%
16%
Environmental Hazard
healthier than 15%
14%
Climate / Disaster Risk
in the bottom 0.00%
5%
“Share” is how much of this ZIP’s score the domain accounts for. Percentages are rounded; higher is healthier in every domain. How the score works, and who it compares you with ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
25036
West Virginiashares a border
Score 32.58
Closest healthier
25040
West Virginiashares a border
Score 32.94
Similar health profile
25555
West Virginia99% similar profile
Score 33.46
How these were chosen: only ZIPs with a published Score appear — a nearby ZIP with too little data to score won’t. Nearby means closest by distance between ZIP boundaries, which can cross state lines. A similar health profile is a close match across the nine Score domains, not similar demographics. Distances are measured between ZIP boundaries — ZIPs that touch share a border. How distance is measured
Evidence
Every measure this page draws on, by source. Collapsed by default — the full data stays in the page for search engines either way.
Health OutcomesCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 41.6% | 38.1–45.1 |
| High blood pressure among adults | 46.9% | 43.0–50.9 |
| Cancer (non-skin) or melanoma among adults | 10.3% | 9.3–11.3 |
| Current asthma among adults | 13.2% | 11.7–14.9 |
| Coronary heart disease among adults | 10.3% | 9.2–11.6 |
| Chronic obstructive pulmonary disease among adults | 13.3% | 11.5–15.3 |
| Depression among adults | 31.9% | 28.0–36.0 |
| Diagnosed diabetes among adults | 19.0% | 16.7–21.5 |
| High cholesterol among adults who have ever been screened | 45.9% | 41.8–50.1 |
| Obesity among adults | 41.1% | 34.8–47.7 |
| Stroke among adults | 5.1% | 4.6–5.7 |
| All teeth lost among adults aged >=65 years | 25.7% | 21.9–29.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.3% | 7.4–11.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.2% | 78.8–83.5 |
| Visits to doctor for routine checkup within the past year among adults | 81.1% | 77.7–83.9 |
| Cholesterol screening among adults | 86.6% | 84.5–88.6 |
| Colorectal cancer screening among adults aged 45–75 years | 66.3% | 61.8–70.6 |
| Visited dentist or dental clinic in the past year among adults | 51.8% | 47.9–55.5 |
| Mammography use among women aged 50-74 years | 79.4% | 73.0–84.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.2% | 10.0–14.6 |
| Current cigarette smoking among adults | 22.6% | 19.2–26.2 |
| No leisure-time physical activity among adults | 37.2% | 32.2–42.6 |
| Short sleep duration among adults | 47.0% | 41.3–52.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 30.8% | 27.0–34.9 |
| Frequent mental distress among adults | 22.6% | 20.2–25.1 |
| Frequent physical distress among adults | 19.8% | 17.5–22.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.6% | 18.1–23.3 |
| Any disability among adults | 45.2% | 40.4–50.2 |
| Hearing disability among adults | 10.5% | 9.2–11.8 |
| Independent living disability among adults | 12.9% | 11.3–14.6 |
| Mobility disability among adults | 22.8% | 19.9–26.1 |
| Self-care disability among adults | 5.7% | 5.0–6.5 |
| Vision disability among adults | 7.1% | 6.3–8.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.0% | 21.3–28.9 |
| Food insecurity in the past 12 months among adults | 19.8% | 16.6–23.3 |
| Received food stamps in the past 12 months among adults | 23.6% | 20.0–27.5 |
| Housing insecurity in the past 12 months among adults | 14.8% | 12.6–17.2 |
| Lack of reliable transportation in the past 12 months among adults | 10.8% | 9.3–12.3 |
| Loneliness among adults | 36.5% | 31.7–41.9 |
| Utility services shut-off threat in the past 12 months among adults | 13.4% | 11.5–15.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Poverty rate | 16.5% | 10.6% (3.1–25.8%) n=32,364 | 16.3% (0.0–41.0%) n=694 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 7.1% (0.0–21.5%) n=682 |
| No HS diploma (25+) | 5.0% | 7.9% (1.8–20.7%) n=32,505 | 11.8% (0.9–29.6%) n=695 |
| Bachelor's or higher (25+) | 12.7% | 23.3% (9.2–53.6%) n=32,505 | 14.1% (0.0–32.5%) n=695 |
| Unemployment rate (16+) | 11.3% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–17.9%) n=668 |
| Households without a vehicle | 7.7% | 3.9% (0.0–12.5%) n=32,322 | 4.3% (0.0–17.1%) n=694 |
| Broadband subscription | 70.1% | 89.3% (75.1–97.1%) n=32,322 | 85.7% (62.6–100.0%) n=694 |
| Housing cost burden (≥30% income) | 9.6% | 23.7% (10.6–40.0%) n=32,322 | 16.7% (0.0–34.6%) n=694 |
| Homeownership rate | 70.8% | 78.7% (51.7–94.0%) n=32,322 | 84.0% (61.6–100.0%) n=694 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 0.0% (0.0–4.1%) n=694 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.0% (0.0–2.1%) n=696 |
| Single-parent households | 100.0% | 53.6% (37.3–74.1%) n=32,087 | 57.0% (31.3–90.6%) n=686 |
| Population 65+ | 50.5% | 19.4% (10.8–33.6%) n=32,553 | 22.0% (10.4–45.0%) n=696 |
| Median age | 69.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.9 yr (32.6–62.1) n=681 |
| Median household income | $40,048 | $72,070 ($46,039–$118,707) n=30,318 | $55,088 ($33,083–$85,218) n=539 |
| Median home value | $71,400 | $222,200 ($100,300–$579,820) n=30,049 | $125,600 ($66,920–$223,500) n=553 |
| Median gross rent | $591 | $1,021 ($677–$1,912) n=25,670 | $802 ($586–$1,085) n=293 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | WV median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 82.6 yr ± 1.70 | 78.9 yr (74.7–82.8) n=31,308 | 76.2 yr (73.1–81.1) n=686 |
About the ± — it’s this estimate’s give-or-take (statisticians call it the standard error). The true life expectancy for this ZIP most likely falls within 1.70 years of 82.6, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾More ZIPs to explore ▴
How these lists were built: they draw only from ZIPs that have a published Score, so ZIPs with too little data to score are not listed. Distance-based lists use distance between ZIP boundaries with no state filter, so an out-of-state ZIP can appear. Statistically similar means a close match across the nine Score domains, not a demographic match: the measure is the cosine similarity between two ZIPs’ domain scores, taken over the domains both ZIPs have data for and only where that overlap covers at least six of the nine — and where no ZIP clears that minimum-overlap floor, that list is left out rather than filled with a weak match. How distance is measured